Call:
tslm(formula = closed ~ season, data = test_ts)
Residuals:
Min 1Q Median 3Q Max
-0.80 -0.20 0.00 0.25 0.80
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.6000 0.1912 8.370 7.49e-09 ***
season2 -0.2000 0.2703 -0.740 0.4660
season3 -0.4000 0.2703 -1.480 0.1510
season4 -0.6000 0.2703 -2.220 0.0354 *
season5 0.2000 0.2703 0.740 0.4660
season6 -0.6000 0.2867 -2.093 0.0463 *
season7 0.1500 0.2867 0.523 0.6053
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.4274 on 26 degrees of freedom
Multiple R-squared: 0.3971, Adjusted R-squared: 0.258
F-statistic: 2.854 on 6 and 26 DF, p-value: 0.02852
Breusch-Godfrey test for serial correlation of order up to 10
data: Residuals from Linear regression model
LM test = 7.7856, df = 10, p-value = 0.6498
